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Applications of generative AI-based financial robot advisors as investment consultants
- 1 Computer Science, Xidian University, Xian, China
- 2 Business Intelligence, Engineering School of Information and Digital Technologies, Villejuif, France
- 3 Information Science, Trine University, Phoenix, AZ, USA
- 4 Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA
- 5 Computer Science, Northeastern University, San Jose, CA, USA
* Author to whom correspondence should be addressed.
Abstract
As a new wave of technological and industrial revolution accelerates, the fusion of technological evolution and societal development is reshaping industries, with digitalization emerging as a potent force in reshaping competitive landscapes. Artificial Intelligence (AI) has progressively permeated various sectors, including finance, its application in finance holds the promise of enhancing efficiency and service quality for financial institutions Its application in finance holds the promise of enhancing efficiency and service quality for financial institutions, thereby offering improved experiences for clients. Among these applications, Intelligent Robo-Advisors stand out as a particularly notable field. In recent years, the rapid development of financial literacy and risk awareness among Chinese residents has elevated the complexity of wealth management demands, prompting interest in Intelligent Robo-Advisors as providers of professional wealth management services. This paper aims to explore the application of Artificial Intelligence in securities investment, focusing on Generative AI-based Financial Robot Advisors as Investment Consultants.
Keywords
Artificial Intelligence (AI), Financial Industry, Investment Consulting, Generative AI, Robo-Advisors
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Cite this article
Jiang,W.;Qian,K.;Fan,C.;Ding,W.;Li,Z. (2024). Applications of generative AI-based financial robot advisors as investment consultants. Applied and Computational Engineering,77,265-270.
Data availability
The datasets used and/or analyzed during the current study will be available from the authors upon reasonable request.
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Volume title: Proceedings of the 2nd International Conference on Software Engineering and Machine Learning
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